Dataset Profiling Report

Dataset statistics

Number of variables	15
Number of observations	506
Missing cells	120
Missing cells (%)	1.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	59.4 KiB
Average record size in memory	120.3 B

Variable types

Numeric	13
Categorical	2

Alerts

`범죄율` is highly correlated with `주거토지비율` and 9 other fields	High correlation
`주거토지비율` is highly correlated with `범죄율` and 4 other fields	High correlation
`상업토지비율` is highly correlated with `범죄율` and 8 other fields	High correlation
`일산화질소` is highly correlated with `범죄율` and 8 other fields	High correlation
`방_개수` is highly correlated with `하위계층비율` and 2 other fields	High correlation
`오래된주택비율` is highly correlated with `범죄율` and 7 other fields	High correlation
`직업센터거리` is highly correlated with `범죄율` and 6 other fields	High correlation
`고속도로접근성` is highly correlated with `범죄율` and 2 other fields	High correlation
`재산세율` is highly correlated with `범죄율` and 8 other fields	High correlation
`학생교사비율` is highly correlated with `주택가격` and 1 other fields	High correlation
`하위계층비율` is highly correlated with `범죄율` and 8 other fields	High correlation
`주택가격` is highly correlated with `범죄율` and 8 other fields	High correlation
`주택가격등급` is highly correlated with `범죄율` and 6 other fields	High correlation
`범죄율` is highly correlated with `고속도로접근성` and 1 other fields	High correlation
`주거토지비율` is highly correlated with `상업토지비율` and 3 other fields	High correlation
`상업토지비율` is highly correlated with `주거토지비율` and 7 other fields	High correlation
`일산화질소` is highly correlated with `주거토지비율` and 6 other fields	High correlation
`방_개수` is highly correlated with `하위계층비율` and 2 other fields	High correlation
`오래된주택비율` is highly correlated with `주거토지비율` and 5 other fields	High correlation
`직업센터거리` is highly correlated with `주거토지비율` and 4 other fields	High correlation
`고속도로접근성` is highly correlated with `범죄율` and 3 other fields	High correlation
`재산세율` is highly correlated with `범죄율` and 7 other fields	High correlation
`학생교사비율` is highly correlated with `주택가격`	High correlation
`하위계층비율` is highly correlated with `상업토지비율` and 6 other fields	High correlation
`주택가격` is highly correlated with `방_개수` and 3 other fields	High correlation
`주택가격등급` is highly correlated with `상업토지비율` and 4 other fields	High correlation
`범죄율` is highly correlated with `상업토지비율` and 4 other fields	High correlation
`주거토지비율` is highly correlated with `상업토지비율` and 1 other fields	High correlation
`상업토지비율` is highly correlated with `범죄율` and 3 other fields	High correlation
`일산화질소` is highly correlated with `범죄율` and 4 other fields	High correlation
`오래된주택비율` is highly correlated with `일산화질소` and 1 other fields	High correlation
`직업센터거리` is highly correlated with `범죄율` and 3 other fields	High correlation
`고속도로접근성` is highly correlated with `범죄율` and 1 other fields	High correlation
`재산세율` is highly correlated with `범죄율` and 1 other fields	High correlation
`하위계층비율` is highly correlated with `주택가격` and 1 other fields	High correlation
`주택가격` is highly correlated with `하위계층비율` and 1 other fields	High correlation
`주택가격등급` is highly correlated with `하위계층비율` and 1 other fields	High correlation
`범죄율` is highly correlated with `상업토지비율` and 3 other fields	High correlation
`주거토지비율` is highly correlated with `상업토지비율` and 7 other fields	High correlation
`상업토지비율` is highly correlated with `범죄율` and 9 other fields	High correlation
`일산화질소` is highly correlated with `범죄율` and 9 other fields	High correlation
`방_개수` is highly correlated with `학생교사비율` and 4 other fields	High correlation
`오래된주택비율` is highly correlated with `주거토지비율` and 8 other fields	High correlation
`직업센터거리` is highly correlated with `주거토지비율` and 9 other fields	High correlation
`고속도로접근성` is highly correlated with `주거토지비율` and 8 other fields	High correlation
`재산세율` is highly correlated with `주거토지비율` and 6 other fields	High correlation
`학생교사비율` is highly correlated with `주거토지비율` and 10 other fields	High correlation
`B` is highly correlated with `범죄율` and 1 other fields	High correlation
`하위계층비율` is highly correlated with `방_개수` and 6 other fields	High correlation
`주택가격` is highly correlated with `주거토지비율` and 9 other fields	High correlation
`주택가격등급` is highly correlated with `범죄율` and 9 other fields	High correlation
`범죄율` has 20 (4.0%) missing values	Missing
`주거토지비율` has 20 (4.0%) missing values	Missing
`상업토지비율` has 20 (4.0%) missing values	Missing
`찰스강인근` has 20 (4.0%) missing values	Missing
`오래된주택비율` has 20 (4.0%) missing values	Missing
`하위계층비율` has 20 (4.0%) missing values	Missing
`주거토지비율` has 360 (71.1%) zeros	Zeros

Reproduction

Analysis started	2022-07-18 05:27:45.927048
Analysis finished	2022-07-18 05:27:56.745286
Duration	10.82 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

범죄율
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	484
Distinct (%)	99.6%
Missing	20
Missing (%)	4.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.611873971

Minimum	0.00632
Maximum	88.9762
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	0.00632
5-th percentile	0.02739
Q1	0.0819
median	0.253715
Q3	3.5602625
95-th percentile	15.870875
Maximum	88.9762
Range	88.96988
Interquartile range (IQR)	3.4783625

Descriptive statistics

Standard deviation	8.72019185
Coefficient of variation (CV)	2.414312326
Kurtosis	36.56834838
Mean	3.611873971
Median Absolute Deviation (MAD)	0.218875
Skewness	5.21284265
Sum	1755.37075
Variance	76.0417459
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.01501	2	0.4%
14.3337	2	0.4%
0.04544	1	0.2%
0.02498	1	0.2%
0.01301	1	0.2%
0.06151	1	0.2%
0.05497	1	0.2%
0.03306	1	0.2%
0.03041	1	0.2%
0.03427	1	0.2%
Other values (474)	474	93.7%
(Missing)	20	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.00632	1	0.2%
0.00906	1	0.2%
0.01096	1	0.2%
0.01301	1	0.2%
0.01311	1	0.2%
0.0136	1	0.2%
0.01381	1	0.2%
0.01432	1	0.2%
0.01439	1	0.2%
0.01501	2	0.4%

Value	Count	Frequency (%)
88.9762	1	0.2%
73.5341	1	0.2%
67.9208	1	0.2%
51.1358	1	0.2%
45.7461	1	0.2%
41.5292	1	0.2%
38.3518	1	0.2%
37.6619	1	0.2%
28.6558	1	0.2%
25.9406	1	0.2%

주거토지비율
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	26
Distinct (%)	5.3%
Missing	20
Missing (%)	4.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.21193416

Minimum	0
Maximum	100
Zeros	360
Zeros (%)	71.1%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	12.5
95-th percentile	80
Maximum	100
Range	100
Interquartile range (IQR)	12.5

Descriptive statistics

Standard deviation	23.38887615
Coefficient of variation (CV)	2.086069702
Kurtosis	4.132614189
Mean	11.21193416
Median Absolute Deviation (MAD)	0
Skewness	2.256612605
Sum	5449
Variance	547.0395274
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	360	71.1%
20	20	4.0%
80	14	2.8%
22	10	2.0%
25	10	2.0%
12.5	10	2.0%
40	6	1.2%
45	6	1.2%
90	5	1.0%
30	5	1.0%
Other values (16)	40	7.9%
(Missing)	20	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	360	71.1%
12.5	10	2.0%
17.5	1	0.2%
18	1	0.2%
20	20	4.0%
21	4	0.8%
22	10	2.0%
25	10	2.0%
28	2	0.4%
30	5	1.0%

Value	Count	Frequency (%)
100	1	0.2%
95	4	0.8%
90	5	1.0%
85	2	0.4%
82.5	2	0.4%
80	14	2.8%
75	3	0.6%
70	3	0.6%
60	4	0.8%
55	3	0.6%

상업토지비율
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	76
Distinct (%)	15.6%
Missing	20
Missing (%)	4.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.08399177

Minimum	0.46
Maximum	27.74
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	0.46
5-th percentile	2.18
Q1	5.19
median	9.69
Q3	18.1
95-th percentile	21.3125
Maximum	27.74
Range	27.28
Interquartile range (IQR)	12.91

Descriptive statistics

Standard deviation	6.835896499
Coefficient of variation (CV)	0.6167359775
Kurtosis	-1.217990915
Mean	11.08399177
Median Absolute Deviation (MAD)	6.32
Skewness	0.3037221876
Sum	5386.82
Variance	46.72948094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18.1	127	25.1%
19.58	28	5.5%
8.14	22	4.3%
6.2	18	3.6%
21.89	14	2.8%
9.9	12	2.4%
3.97	12	2.4%
8.56	11	2.2%
10.59	11	2.2%
5.86	9	1.8%
Other values (66)	222	43.9%
(Missing)	20	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.46	1	0.2%
0.74	1	0.2%
1.21	1	0.2%
1.22	1	0.2%
1.25	2	0.4%
1.32	1	0.2%
1.38	1	0.2%
1.47	2	0.4%
1.52	4	0.8%
1.69	2	0.4%

Value	Count	Frequency (%)
27.74	5	1.0%
25.65	6	1.2%
21.89	14	2.8%
19.58	28	5.5%
18.1	127	25.1%
15.04	3	0.6%
13.92	4	0.8%
13.89	3	0.6%
12.83	6	1.2%
11.93	5	1.0%

찰스강인근
Categorical

MISSING

Distinct	2
Distinct (%)	0.4%
Missing	20
Missing (%)	4.0%
Memory size	29.4 KiB

0.0	452
1.0	34

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1458
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	452	89.3%
1.0	34	6.7%
(Missing)	20	4.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	452	93.0%
1.0	34	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	938	64.3%
.	486	33.3%
1	34	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	972	66.7%
Other Punctuation	486	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	938	96.5%
1	34	3.5%

Other Punctuation

Value	Count	Frequency (%)
.	486	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1458	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	938	64.3%
.	486	33.3%
1	34	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1458	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	938	64.3%
.	486	33.3%
1	34	2.3%

일산화질소
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	81
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5546950593

Minimum	0.385
Maximum	0.871
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	0.385
5-th percentile	0.40925
Q1	0.449
median	0.538
Q3	0.624
95-th percentile	0.74
Maximum	0.871
Range	0.486
Interquartile range (IQR)	0.175

Descriptive statistics

Standard deviation	0.1158776757
Coefficient of variation (CV)	0.2089033853
Kurtosis	-0.06466713337
Mean	0.5546950593
Median Absolute Deviation (MAD)	0.0875
Skewness	0.7293079225
Sum	280.6757
Variance	0.01342763572
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.538	23	4.5%
0.713	18	3.6%
0.437	17	3.4%
0.871	16	3.2%
0.624	15	3.0%
0.489	15	3.0%
0.693	14	2.8%
0.605	14	2.8%
0.74	13	2.6%
0.544	12	2.4%
Other values (71)	349	69.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.385	1	0.2%
0.389	1	0.2%
0.392	2	0.4%
0.394	1	0.2%
0.398	2	0.4%
0.4	4	0.8%
0.401	3	0.6%
0.403	3	0.6%
0.404	3	0.6%
0.405	3	0.6%

Value	Count	Frequency (%)
0.871	16	3.2%
0.77	8	1.6%
0.74	13	2.6%
0.718	6	1.2%
0.713	18	3.6%
0.7	11	2.2%
0.693	14	2.8%
0.679	8	1.6%
0.671	7	1.4%
0.668	3	0.6%

방_개수
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	446
Distinct (%)	88.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.284634387

Minimum	3.561
Maximum	8.78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	3.561
5-th percentile	5.314
Q1	5.8855
median	6.2085
Q3	6.6235
95-th percentile	7.5875
Maximum	8.78
Range	5.219
Interquartile range (IQR)	0.738

Descriptive statistics

Standard deviation	0.7026171434
Coefficient of variation (CV)	0.1117992074
Kurtosis	1.891500366
Mean	6.284634387
Median Absolute Deviation (MAD)	0.3455
Skewness	0.4036121333
Sum	3180.025
Variance	0.4936708502
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.713	3	0.6%
6.167	3	0.6%
6.127	3	0.6%
6.229	3	0.6%
6.405	3	0.6%
6.417	3	0.6%
6.782	2	0.4%
6.951	2	0.4%
6.63	2	0.4%
6.312	2	0.4%
Other values (436)	480	94.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.561	1	0.2%
3.863	1	0.2%
4.138	2	0.4%
4.368	1	0.2%
4.519	1	0.2%
4.628	1	0.2%
4.652	1	0.2%
4.88	1	0.2%
4.903	1	0.2%
4.906	1	0.2%

Value	Count	Frequency (%)
8.78	1	0.2%
8.725	1	0.2%
8.704	1	0.2%
8.398	1	0.2%
8.375	1	0.2%
8.337	1	0.2%
8.297	1	0.2%
8.266	1	0.2%
8.259	1	0.2%
8.247	1	0.2%

오래된주택비율
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	348
Distinct (%)	71.6%
Missing	20
Missing (%)	4.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.51851852

Minimum	2.9
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	2.9
5-th percentile	17.95
Q1	45.175
median	76.8
Q3	93.975
95-th percentile	100
Maximum	100
Range	97.1
Interquartile range (IQR)	48.8

Descriptive statistics

Standard deviation	27.99951301
Coefficient of variation (CV)	0.4086415412
Kurtosis	-0.9821403245
Mean	68.51851852
Median Absolute Deviation (MAD)	20.15
Skewness	-0.5824700575
Sum	33300
Variance	783.9727285
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	42	8.3%
97.9	4	0.8%
87.9	4	0.8%
98.8	4	0.8%
96	4	0.8%
95.4	4	0.8%
76.5	3	0.6%
97	3	0.6%
96.2	3	0.6%
32.2	3	0.6%
Other values (338)	412	81.4%
(Missing)	20	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.9	1	0.2%
6.2	1	0.2%
6.5	1	0.2%
6.6	2	0.4%
6.8	1	0.2%
7.8	2	0.4%
8.4	1	0.2%
8.9	1	0.2%
9.8	1	0.2%
10	1	0.2%

Value	Count	Frequency (%)
100	42	8.3%
99.3	1	0.2%
99.1	1	0.2%
98.9	3	0.6%
98.8	4	0.8%
98.7	1	0.2%
98.5	1	0.2%
98.4	2	0.4%
98.3	2	0.4%
98.2	2	0.4%

직업센터거리
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	412
Distinct (%)	81.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.795042688

Minimum	1.1296
Maximum	12.1265
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	1.1296
5-th percentile	1.461975
Q1	2.100175
median	3.20745
Q3	5.188425
95-th percentile	7.8278
Maximum	12.1265
Range	10.9969
Interquartile range (IQR)	3.08825

Descriptive statistics

Standard deviation	2.105710127
Coefficient of variation (CV)	0.5548580872
Kurtosis	0.4879411222
Mean	3.795042688
Median Absolute Deviation (MAD)	1.29115
Skewness	1.011780579
Sum	1920.2916
Variance	4.434015137
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.4952	5	1.0%
5.7209	4	0.8%
5.2873	4	0.8%
6.8147	4	0.8%
5.4007	4	0.8%
6.3361	3	0.6%
3.9454	3	0.6%
6.498	3	0.6%
4.7211	3	0.6%
4.8122	3	0.6%
Other values (402)	470	92.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.1296	1	0.2%
1.137	1	0.2%
1.1691	1	0.2%
1.1742	1	0.2%
1.1781	1	0.2%
1.2024	1	0.2%
1.2852	1	0.2%
1.3163	1	0.2%
1.3216	1	0.2%
1.3325	1	0.2%

Value	Count	Frequency (%)
12.1265	1	0.2%
10.7103	2	0.4%
10.5857	2	0.4%
9.2229	1	0.2%
9.2203	2	0.4%
9.1876	1	0.2%
9.0892	1	0.2%
8.9067	2	0.4%
8.7921	2	0.4%
8.6966	1	0.2%

고속도로접근성
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.549407115

Minimum	1
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	5
Q3	24
95-th percentile	24
Maximum	24
Range	23
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	8.707259384
Coefficient of variation (CV)	0.9118115166
Kurtosis	-0.8672319936
Mean	9.549407115
Median Absolute Deviation (MAD)	2
Skewness	1.004814648
Sum	4832
Variance	75.81636598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
24	132	26.1%
5	115	22.7%
4	110	21.7%
3	38	7.5%
6	26	5.1%
2	24	4.7%
8	24	4.7%
1	20	4.0%
7	17	3.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	20	4.0%
2	24	4.7%
3	38	7.5%
4	110	21.7%
5	115	22.7%
6	26	5.1%
7	17	3.4%
8	24	4.7%
24	132	26.1%

Value	Count	Frequency (%)
24	132	26.1%
8	24	4.7%
7	17	3.4%
6	26	5.1%
5	115	22.7%
4	110	21.7%
3	38	7.5%
2	24	4.7%
1	20	4.0%

재산세율
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	66
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	408.2371542

Minimum	187
Maximum	711
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	187
5-th percentile	222
Q1	279
median	330
Q3	666
95-th percentile	666
Maximum	711
Range	524
Interquartile range (IQR)	387

Descriptive statistics

Standard deviation	168.5371161
Coefficient of variation (CV)	0.4128411987
Kurtosis	-1.142407992
Mean	408.2371542
Median Absolute Deviation (MAD)	73
Skewness	0.6699559418
Sum	206568
Variance	28404.75949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
666	132	26.1%
307	40	7.9%
403	30	5.9%
437	15	3.0%
304	14	2.8%
264	12	2.4%
398	12	2.4%
384	11	2.2%
277	11	2.2%
224	10	2.0%
Other values (56)	219	43.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
187	1	0.2%
188	7	1.4%
193	8	1.6%
198	1	0.2%
216	5	1.0%
222	7	1.4%
223	5	1.0%
224	10	2.0%
226	1	0.2%
233	9	1.8%

Value	Count	Frequency (%)
711	5	1.0%
666	132	26.1%
469	1	0.2%
437	15	3.0%
432	9	1.8%
430	3	0.6%
422	1	0.2%
411	2	0.4%
403	30	5.9%
402	2	0.4%

학생교사비율
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	46
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.4555336

Minimum	12.6
Maximum	22
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	12.6
5-th percentile	14.7
Q1	17.4
median	19.05
Q3	20.2
95-th percentile	21
Maximum	22
Range	9.4
Interquartile range (IQR)	2.8

Descriptive statistics

Standard deviation	2.164945524
Coefficient of variation (CV)	0.1173060379
Kurtosis	-0.2850913833
Mean	18.4555336
Median Absolute Deviation (MAD)	1.15
Skewness	-0.8023249269
Sum	9338.5
Variance	4.686989121
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
20.2	140	27.7%
14.7	34	6.7%
21	27	5.3%
17.8	23	4.5%
19.2	19	3.8%
17.4	18	3.6%
18.6	17	3.4%
19.1	17	3.4%
18.4	16	3.2%
16.6	16	3.2%
Other values (36)	179	35.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12.6	3	0.6%
13	12	2.4%
13.6	1	0.2%
14.4	1	0.2%
14.7	34	6.7%
14.8	3	0.6%
14.9	4	0.8%
15.1	1	0.2%
15.2	13	2.6%
15.3	3	0.6%

Value	Count	Frequency (%)
22	2	0.4%
21.2	15	3.0%
21.1	1	0.2%
21	27	5.3%
20.9	11	2.2%
20.2	140	27.7%
20.1	5	1.0%
19.7	8	1.6%
19.6	8	1.6%
19.2	19	3.8%

B
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	357
Distinct (%)	70.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	356.6740316

Minimum	0.32
Maximum	396.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	0.32
5-th percentile	84.59
Q1	375.3775
median	391.44
Q3	396.225
95-th percentile	396.9
Maximum	396.9
Range	396.58
Interquartile range (IQR)	20.8475

Descriptive statistics

Standard deviation	91.29486438
Coefficient of variation (CV)	0.255961624
Kurtosis	7.226817549
Mean	356.6740316
Median Absolute Deviation (MAD)	5.46
Skewness	-2.890373712
Sum	180477.06
Variance	8334.752263
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
396.9	121	23.9%
393.74	3	0.6%
395.24	3	0.6%
376.14	2	0.4%
394.72	2	0.4%
395.63	2	0.4%
392.8	2	0.4%
395.56	2	0.4%
390.94	2	0.4%
393.68	2	0.4%
Other values (347)	365	72.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.32	1	0.2%
2.52	1	0.2%
2.6	1	0.2%
3.5	1	0.2%
3.65	1	0.2%
6.68	1	0.2%
7.68	1	0.2%
9.32	1	0.2%
10.48	1	0.2%
16.45	1	0.2%

Value	Count	Frequency (%)
396.9	121	23.9%
396.42	1	0.2%
396.33	1	0.2%
396.3	1	0.2%
396.28	1	0.2%
396.24	1	0.2%
396.23	1	0.2%
396.21	2	0.4%
396.14	1	0.2%
396.06	2	0.4%

하위계층비율
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	438
Distinct (%)	90.1%
Missing	20
Missing (%)	4.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.7154321

Minimum	1.73
Maximum	37.97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	1.73
5-th percentile	3.7075
Q1	7.125
median	11.43
Q3	16.955
95-th percentile	27.15
Maximum	37.97
Range	36.24
Interquartile range (IQR)	9.83

Descriptive statistics

Standard deviation	7.155870816
Coefficient of variation (CV)	0.5627705579
Kurtosis	0.5186825176
Mean	12.7154321
Median Absolute Deviation (MAD)	4.795
Skewness	0.908891837
Sum	6179.7
Variance	51.20648713
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.79	3	0.6%
6.36	3	0.6%
8.05	3	0.6%
14.1	3	0.6%
18.13	3	0.6%
30.81	2	0.4%
4.59	2	0.4%
7.39	2	0.4%
12.67	2	0.4%
5.29	2	0.4%
Other values (428)	461	91.1%
(Missing)	20	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.73	1	0.2%
1.92	1	0.2%
1.98	1	0.2%
2.47	1	0.2%
2.87	1	0.2%
2.88	1	0.2%
2.94	1	0.2%
2.96	1	0.2%
2.97	1	0.2%
2.98	1	0.2%

Value	Count	Frequency (%)
37.97	1	0.2%
36.98	1	0.2%
34.77	1	0.2%
34.41	1	0.2%
34.37	1	0.2%
34.02	1	0.2%
31.99	1	0.2%
30.81	2	0.4%
30.63	1	0.2%
30.62	1	0.2%

주택가격
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	229
Distinct (%)	45.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.53280632

Minimum	5
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.1 KiB

Quantile statistics

Minimum	5
5-th percentile	10.2
Q1	17.025
median	21.2
Q3	25
95-th percentile	43.4
Maximum	50
Range	45
Interquartile range (IQR)	7.975

Descriptive statistics

Standard deviation	9.197104087
Coefficient of variation (CV)	0.408165053
Kurtosis	1.495196944
Mean	22.53280632
Median Absolute Deviation (MAD)	4
Skewness	1.108098408
Sum	11401.6
Variance	84.58672359
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	16	3.2%
25	8	1.6%
22	7	1.4%
21.7	7	1.4%
23.1	7	1.4%
19.4	6	1.2%
20.6	6	1.2%
13.8	5	1.0%
21.4	5	1.0%
20.1	5	1.0%
Other values (219)	434	85.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	0.4%
5.6	1	0.2%
6.3	1	0.2%
7	2	0.4%
7.2	3	0.6%
7.4	1	0.2%
7.5	1	0.2%
8.1	1	0.2%
8.3	2	0.4%
8.4	2	0.4%

Value	Count	Frequency (%)
50	16	3.2%
48.8	1	0.2%
48.5	1	0.2%
48.3	1	0.2%
46.7	1	0.2%
46	1	0.2%
45.4	1	0.2%
44.8	1	0.2%
44	1	0.2%
43.8	1	0.2%

주택가격등급
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	28.8 KiB

1	325
0	97
2	84

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	506
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	325	64.2%
0	97	19.2%
2	84	16.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	325	64.2%
0	97	19.2%
2	84	16.6%

Most occurring characters

Value	Count	Frequency (%)
1	325	64.2%
0	97	19.2%
2	84	16.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	506	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	325	64.2%
0	97	19.2%
2	84	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	506	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	325	64.2%
0	97	19.2%
2	84	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	506	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	325	64.2%
0	97	19.2%
2	84	16.6%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	범죄율	주거토지비율	상업토지비율	찰스강인근	일산화질소	방_개수	오래된주택비율	직업센터거리	고속도로접근성	재산세율	학생교사비율	B	하위계층비율	주택가격	주택가격등급
0	0.00632	18.0	2.31	0.0	0.538	6.575	65.2	4.0900	1	296	15.3	396.90	4.98	24.0	1
1	0.02731	0.0	7.07	0.0	0.469	6.421	78.9	4.9671	2	242	17.8	396.90	9.14	21.6	1
2	0.02729	0.0	7.07	0.0	0.469	7.185	61.1	4.9671	2	242	17.8	392.83	4.03	34.7	2
3	0.03237	0.0	2.18	0.0	0.458	6.998	45.8	6.0622	3	222	18.7	394.63	2.94	33.4	2
4	0.06905	0.0	2.18	0.0	0.458	7.147	54.2	6.0622	3	222	18.7	396.90	NaN	36.2	2
5	0.02985	0.0	2.18	0.0	0.458	6.430	58.7	6.0622	3	222	18.7	394.12	5.21	28.7	1
6	0.08829	12.5	7.87	NaN	0.524	6.012	66.6	5.5605	5	311	15.2	395.60	12.43	22.9	1
7	0.14455	12.5	7.87	0.0	0.524	6.172	96.1	5.9505	5	311	15.2	396.90	19.15	27.1	1
8	0.21124	12.5	7.87	0.0	0.524	5.631	100.0	6.0821	5	311	15.2	386.63	29.93	16.5	1
9	0.17004	12.5	7.87	NaN	0.524	6.004	85.9	6.5921	5	311	15.2	386.71	17.10	18.9	1

Last rows

	범죄율	상업토지비율	일산화질소	방_개수	오래된주택비율	직업센터거리	고속도로접근성	재산세율	학생교사비율	B	하위계층비율	주택가격	주택가격등급
496	0.28960	9.69	0.585	5.390	72.9	2.7986	6	391	19.2	396.90	21.14	19.7	1
497	0.26838	9.69	0.585	5.794	70.6	2.8927	6	391	19.2	396.90	14.10	18.3	1
498	0.23912	9.69	0.585	6.019	65.3	2.4091	6	391	19.2	396.90	12.92	21.2	1
499	0.17783	9.69	0.585	5.569	73.5	2.3999	6	391	19.2	395.77	15.10	17.5	1
500	0.22438	9.69	0.585	6.027	79.7	2.4982	6	391	19.2	396.90	14.33	16.8	1
501	0.06263	11.93	0.573	6.593	69.1	2.4786	1	273	21.0	391.99	NaN	22.4	1
502	0.04527	11.93	0.573	6.120	76.7	2.2875	1	273	21.0	396.90	9.08	20.6	1
503	0.06076	11.93	0.573	6.976	91.0	2.1675	1	273	21.0	396.90	5.64	23.9	1
504	0.10959	11.93	0.573	6.794	89.3	2.3889	1	273	21.0	393.45	6.48	22.0	1
505	0.04741	11.93	0.573	6.030	NaN	2.5050	1	273	21.0	396.90	7.88	11.9	0

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows